问题求解

The first model is the optimization problems with s linear objective function subject to a system of fuzzy relation equations and a system of fuzzy relation inequalities, which are solved by using path method and 0-1 integer programming with branch and bound method.

第一种为约束为模糊关系方程和模糊关系不等式的具有线性目标函数的优化问题，采用路径法及0-1整数规划中的分枝定界法对其求解；第二种为约束为模糊关系方程和模糊关系不等式的格线性规划问题，采用直接法、路径法及0-1整数规划法对其求解；第三种为模糊关系不等式为模糊的，即约束中有一个可接受的容差，采用容差法及正负理想法对其求解；第四种是一种新的可能性模糊线性规划问题，采用模糊数大小比较法、"切片-粘贴"法及正负理想法，并设计了随机模拟的遗传算法对其求解；第五种为期望值模型，利用期望值将其转化为清晰约束系数的线性规划问题的方法。

A novel hybrid algorithm, which combines predictor-corrector primal-dual interior point method and genetic algorithm, is presented for dynamic and static reactive optimization in this dissertation. The algorithm fully make use of the advantage of interior point method in solving successive optimization problem and the advantage of genetic algorithm in solving discrete optimization problem. The original problem is divided into three parts: total successive problem, discrete problem and successive problem.

结合内点法和遗传算法，本文提出了一种新颖的混合算法用于求解动、静态无功优化问题，算法充分利用了内点法易于求解连续优化问题和遗传算法易于求解离散优化问题的优势，将原优化问题分解为初步的连续优化问题、离散变量优化问题、连续变量优化问题这三个子问题分别求解。

A rich and complete concept system is required for Knowledge-based Problem Solving, especially when the problem is domain unrestrictive.

基于知识的问题求解需要一个丰富而相对完备的概念系统，尤其是当任务具有领域非限定特征时。

The results abstained in this dissertation make an improvement of the theory of mathematical programming, and offer some basis for the study of algorithms and some potential applications of this kind problem in the future.

本文的结果对均衡约束数学规划的理论作了一定的完善，同时也对该类问题求解算法研究和一些潜在的应用研究提供了一定的理论基础。

Compared with the hybrid of TS and simulation, the hybrid of GA and simulation converges tardier but more beseems large-scale optimization problems.

两种混合优化算法相比，禁忌模拟收敛较快，但遗传模拟更适于大规模问题求解。

Techniques such as different level knowledge representation methods,multiple inference engines,interrupt inference process,global-blackboard-based distributed problem solving,knowledge-based modeling and data excerpting,and deductive database ma- nagement method,are used in DECISION-E.

在DECISIGN-E 中还采用了下面的一些特殊技术：不同层次的知识表达方法，多推理机，推理中断处理，基于全局黑板的分布式问题求解，基于知识的建模及数据抽象，演绎数据库管理方法。

If reasoning is a means of inferring new information from what is already known, problem solving is the process of finding a solution to an unfamiliar task, using the knowledge we have.

如果推理是从已知的东西推出新的信息的一种方法，那么问题求解就是运用我们掌握的知识对一个不熟悉的任务找出解决办法的过程。

It has been experimentally observed in many engineering materials such as in the clay that a shear band of intense plastic deformation caused by strain softening possesses a finite width.

对饱和多孔介质(也能作为退化情况用于固体材料)提出了一个归结为线性互补问题求解过程的梯度塑性连续体有限元-无网格耦合方法。

To solve the ever increasingly difficult complex problems, authors devoted their efforts on designing an architecture for evolving coadapted subcomponents, i.e.

面向一类高复杂度问题求解，设计多种群协适应式共演化的仿生算法框架。

Separation of concerns is the main power to decompose software into manageable and comprehensible parts, which would be organized together later.

本文综合了现有的关注分离的研究工作，分析了对于关注这一个概念的两类观点，并从问题求解的角度给出了关注以及关注分离的定义。

Plunder melds and run with this jewel!

掠夺melds和运行与此宝石！

My dream is to be a crazy growing tree and extend at the edge between the city and the forest.

此刻，也许正是在通往天国的路上，我体验着这白色的晕旋。